LinkedIn Influencer Marketing: 9 Rules for B2B SaaS Teams (and What Changes for DevTools)

TL;DR

• Three different motions get called LinkedIn influencer marketing. Organic creator posts, Thought Leader Ads, and the hybrid. They have different cost bases and different failure modes.
• Thought Leader Ads are the cheapest distribution on the platform. In one advertiser's side-by-side test they took 6% of the budget and produced 83% of the clicks.
• Almost every company running the format points it at its own founder. Of 34 Thought Leader Ads in our sample, only 6 amplified an outside voice. That is the arbitrage.
• Buy audience overlap, not followers. Vector's seven creators averaged 13,000 followers and the campaign produced $1.1M in pipeline.
• Two of LinkedIn's eight campaign objectives support the format. No lead gen forms, no CTA button, no documents, no polls, no reshares.
• For DevTools the credibility tax is real and measurable. Across every Hacker News comment containing the phrase "LinkedIn influencer," not one uses it approvingly.

LinkedIn influencer marketing works in B2B when you pay for distribution of a credible person's post rather than for a shout-out. The cheapest version of it is a native ad format that ships with every LinkedIn ad account and that almost nobody points outward. Across 360 live ads we sampled in developer and infrastructure categories, only 6 amplified a voice from outside the company paying the bill.

That number is the whole argument. Every other rule below follows from it. This blog covers what you're buying when you say "influencer marketing" on LinkedIn, what a placement costs against the alternatives, the eleven platform limits that shape the campaign before you write a word, how to measure it when your buyer takes eleven weeks to convert, and what has to change when the audience is engineers rather than executives.

What are the three things people call LinkedIn influencer marketing?

Three separate motions share the name, and buying the wrong one is the most common way this budget gets wasted.

Organic creator posts are the classic version. You pay a person with an audience to write about you, and their followers plus the feed algorithm decide who sees it. You are buying their distribution.

Thought Leader Ads are LinkedIn's official product name for promoting an individual's organic post as a paid ad from your company's ad account. The post keeps the person's name, their face, their voice, and their follower list. It picks up a small "Promoted" label and nothing else. Here you are buying your own targeting, and the creator's follower count is close to irrelevant.

The hybrid is both: pay a creator for the post, then put ad budget behind it. This is the version that most resembles what the phrase promises, and it is the rarest of the three in practice.

Three motions, one name. The middle column is the one with a spare 40x cost advantage sitting in it.

The distinction matters commercially because the second motion decouples reach from following. A creator with 3,000 engaged followers and a 15,000-follower ceiling on organic reach can be put in front of exactly 200,000 platform engineers at companies on your target account list. You stop buying an audience and start buying a face.

Rule 1. Which motion are you buying, and what does the brief have to say?

The brief for a creator post and the brief for a Thought Leader Ad are different documents, and teams routinely write one and buy the other.

If you are buying organic creator posts

You're buying their audience, so audience composition is the entire diligence question. PostHog, which publishes its influencer operation openly, sets a hard floor in its public handbook: above 5,000 views per video, "anything below this is just not worth your time." It also names categories to avoid inside developer content, including interview prep and career growth channels, on the reasoning that the audience is job-hunting rather than tool-buying.

If you are buying Thought Leader Ads

You're buying a face and a voice, and the targeting is yours. Follower count stops being diligence and starts being a rounding error. What matters instead is whether the person is recognisable to your buyer and whether their writing survives being read by a stranger who has never heard of them.

If you are buying the hybrid

You need both, plus one thing neither motion needs on its own: written permission to promote, secured before the creator writes anything. LinkedIn requires the post's author to approve each promotion. Discovering this after the post is live, when the creator has gone quiet for a week, is a common and entirely avoidable stall.

Here's the practical test: if your brief says "we want them to post about the launch," you are buying motion one. If it says "we want their post in front of 400 named accounts," you're buying motion two. If it says both, say so out loud and budget both line items.

Rule 2. Point the format outward, because almost nobody does

This is the finding that should change what you do on Monday.

LinkedIn runs a public Ad Library that requires no login and indexes every ad created in the trailing twelve months. It also, unintentionally, labels Thought Leader Ads: an ad fronted by a person carries a profile photo where a company ad carries a logo, and each ad's detail page states either "Promoted by [Company]" or "Paid for by [person]."

So we counted. We took the first results page for each of 15 developer and infrastructure keywords in the US, 360 live ads in total, classified each one by advertiser type, then opened all 131 person-fronted detail pages by hand to read the payer field.

Method: LinkedIn Ad Library public search, United States, one results page per keyword, 24 ads each. Person-fronted ads were separated from company-page ads by advertiser image type, then split by the "Promoted by" field on each ad's own detail page.

The middle number is the surprising one. Of the 131 ads with a human face on them, 96 were people boosting their own posts with their own money: consultants, coaches, recruiters, and solo operators. Those aren't thought leadership advertising in any useful sense. They are self-promotion with a card attached.

That leaves 34 genuine Thought Leader Ads out of 360, and of those 34, only 6 amplified someone who does not work for the company paying. The six come from four people:

Everything else is founders and staff. Postman ran its CEO Abhinav Asthana. Airbyte ran Michel Tricot. Monte Carlo ran Lior Gavish. IBM ran Jay Gambetta three separate times. Feldera, Paragon, Serval, Anyscale, and Espresso AI all ran their own co-founders or product leads.

Founder-led thought leadership is a good use of the format. It is not influencer marketing, and the two get conflated constantly on the same line of the same budget. If your plan is "our CEO posts and we boost it," you are running an owned-media amplification programme. Call it that, resource it that way, and stop expecting it to reach audiences your CEO cannot already reach.

The outward-facing version is sitting almost untouched. Four companies in a 360-ad sample found it.

The opportunity is not evenly distributed

The share of person-fronted ads varies sharply by category, which tells you where the norm has already shifted and where it has not. Every count below is reproducible in the Ad Library in about a minute per keyword.

Developer experience, LLM, and AI agents are the categories where person-fronted advertising is already close to normal. DevOps platform, CI/CD, and cloud security are still almost entirely logo-fronted.

Read this as a competitive map rather than a scoreboard. In "developer experience," where 14 of 24 ads already carry a face, a person-fronted ad no longer stands out and you are competing on the quality of the person. In "DevOps platform," where 3 of 24 do, the format itself is still a pattern break.

One more detail from the sample worth acting on: 237 of the 360 ads were single-image, and only 29 were video. Whatever LinkedIn's feed rewards, the shelf is overwhelmingly static.

Rule 3. Buy audience overlap, not follower count

The clearest public evidence on this is Vector's campaign, broken down by Favikon from data their marketing lead Jess Cook published herself.

Vector spent $12,000 across seven creators, a campaign also broken down on video by influencer marketer Megan Mahoney. Three were existing customers and four were thought leaders matching their ideal customer profile. One post per creator per month, for three months. Average follower count: 13,000. Reported outcome: $1.1M in pipeline.

The engagement numbers are the part people skip. Favikon traced six of the seven creators and found average engagement of 111 per post, counting likes, comments, and reposts together. By consumer influencer standards that is nothing. By pipeline standards it produced a 90x return on the media spend.

The reason is that Vector sells to demand generation marketers, a population small enough that a post hitting it accurately cannot generate large absolute engagement. There simply are not that many of them. Engagement volume measures audience size. It does not measure audience match, and audience match is what converts.

How to check overlap without a tool

Three checks, in order of how much they tell you per minute spent:

• Read the comments, not the counts. On a credible niche creator, the comments come from job titles you recognise, and they contain follow-up questions or counter-examples rather than "Great post!" A creator whose comment section is full of congratulations is a creator whose audience is peers seeking reciprocity.
• Check what they turned down. Creators who have declined work are creators whose audience trust is worth something to them. Ask directly: "What have you said no to in the last six months, and why?"
• Look for the conflict. In building a creator roster for an open-source AI infrastructure client, our researcher found a candidate with 53,433 followers who scored a bullseye on content fit and was also the creator of a competing product and a paid advisor to it. That is not automatically disqualifying, but it has to be logged in writing before money is discussed. The full vetting sheet and scoring logic is in our DevTools creator playbook.

Threshold numbers and where they exist

PostHog's handbook publishes the only clean public engagement benchmarks in developer content:

Those are YouTube ratios, and they transfer to LinkedIn only as a way of thinking: rate engagement against reach, never against following. A LinkedIn post reaching 40,000 people with 60 comments is a healthier signal than one reaching 4,000 with 90.

Rule 4. Test the post organically before you put budget behind it

Paid distribution multiplies whatever the post already is. It doesn't fix a post nobody wanted to read.

The sequencing that practitioners converge on is: publish organically, watch the first 24 to 48 hours, then promote only what already earned attention. Justin Rowe, CMO at Impactable, names boosting posts blindly as the default failure in a LinkedIn post collected on LinkedIn's own thought leader advertising page. His instruction: "Watch which posts generate engagement, saves, or strong comments. Then, amplify only the winners." Rowe's agency reports engagement rates 2 to 5 times higher than traditional ad formats when this order is followed.

There is a second reason to do it in this order, and it is mechanical rather than editorial. A Thought Leader Ad carries its organic engagement into the paid placement. The reactions and comments the post earned before you promoted it stay visible and act as social proof for every cold impression you buy afterwards. Promote a post with 4 likes, and you are paying to distribute a post with 4 likes.

The upside, when the order is right, shows up in published numbers. Brendan Hufford, who runs AI search consulting for SaaS companies, reported a 30-day test of thought leader ads built on his existing organic posts: 178,000 additional impressions, 3,779 clicks, a 12% click-through rate on static posts, $0.72 average cost per click, and 33 conversions at $88 each.

One caveat that gets missed: the best organic post is not automatically the best ad. Organic reach is dominated by your existing followers, who already know you. A post that overperforms organically may be overperforming with an audience you were not going to have to convince. Check that the post makes sense to a stranger before you show it to 200,000 of them.

Rule 5. What should a placement actually cost?

The cost case for this format is unusually clean, because one advertiser ran all three formats simultaneously against the same audience and published the full table.

Valueships, a SaaS pricing consultancy, targeted senior SaaS executives across the US, UK, DACH, and Western Europe with thought leader ads, single image ads, and carousel ads at the same time.

One advertiser ran all three side by side for two weeks. The thought leader ads took 6% of the budget and 83% of the clicks. The full numbers:

Thought leader ads took 6% of the total budget and produced 83% of the website clicks. The outcome attached to that $391 was 12 booked meetings within two weeks.

Why the CPM gap exists

The mechanism is worth understanding, because it tells you what to optimise.

LinkedIn's ad auction is not a pure price auction. It weights predicted engagement, so a creative the system expects people to interact with wins impressions more cheaply than one it expects people to scroll past. Thought leader ads in this campaign ran a 10.68% click-through rate against 0.48% for image ads. The system priced that difference into the CPM: $2.31 against $48.31.

You aren't getting a discount for using a format. You are getting a discount for making something people engage with, and this format makes that easier because it does not look like an ad.

Two consequences follow. First, a bad thought leader ad gets no discount at all, and there is no format-level protection against dull writing. Second, the effective cost is set by the post rather than the bid, which means creative quality is a budget lever and not just a brand lever.

Sanity-checking a creator's quote

When you are buying the organic motion instead, convert every quote into an effective CPM before you agree to anything. Ask for the median reach of their last ten posts, not their best one, and divide.

A creator with 100,000 followers whose posts reach 9,000 people, quoting $2,000, is charging a $222 CPM. A creator with 30,000 followers reaching 40,000 people, quoting $1,200, is charging $30. The follower counts point one way and the arithmetic points the other. We walk through this calculation in more depth in our guide to pricing creator placements on YouTube, and the method transfers directly.

For reference, a workable starting band for a first LinkedIn test is $3,000 to $15,000 total, which buys a small roster and enough weeks to read the data.

Rule 6. Write for the two lines above the fold, and put the link in the P.S.

The hook is the part visible before "see more." On a Thought Leader Ad, you are paying for every tap on that button, so the hook is simultaneously your creative and your cost driver.

Valueships' ten ads produced a wide spread, and the pattern in the gap between best and worst is consistent enough to brief against. Their strongest post ran a 4.69% click-to-landing-page rate at $0.10 per click. It opened: "Millennials: 'skinny jeans are still cool' (they're not); SaaS: 'seat-based pricing is still cool' (it's not)."

Not one of the top three posts opened with the product, the company name, or anything resembling a pitch.

What the winning posts had in common

• They named real companies and real numbers. Swan AI. Anthropic. $51,217. Netflix. Notion's 140% price increase. Specific and checkable beats "a company we worked with."
• They were written in first person, imperfections intact. One post kept a visible typo and still hit 2.29% click-through. ZenABM's cross-account data puts 65% of top-performing thought leader ads in the "I" voice.
• They put the link at the bottom. Across their benchmark set, 75% of top performers place the link in the bottom quarter of the post. The value lands first, the ask lands last.

Rule 7. Set the campaign up against the constraint map, not the defaults

More money is lost to two default checkboxes than to bad creative.

Before setting any of it, spend ten minutes in the Ad Library reading competitors' live thought leader ads, a step Mitchell Gould demonstrates at the start of his walkthrough. It is the cheapest creative research available on the platform.

The two toggles to switch off

LinkedIn Audience Network places your ads on third-party websites and apps outside LinkedIn. Both practitioners we reviewed recommend disabling it without qualification. One LinkedIn ads consultant who says he has managed over £6M in spend across 100+ businesses puts the resulting traffic quality bluntly, estimating around 90% bots.

Audience expansion shows your ads to people adjacent to the audience you specified, which negates the targeting you just built. Mitchell Gould's walkthrough turns it off as a default step.

Both settings make the metrics in Campaign Manager look better while the outcomes you care about get worse. That combination is why they survive: the person checking the dashboard sees improvement.

Settings that actually need a decision

• Objective. Engagement or Brand Awareness are your only options. Engagement is the usual pick, because it optimises for people who interact, and interaction is what builds the retargeting audience covered in Rule 8. Brand Awareness caps impressions and charges on reach, which suits a saturation play against a fixed account list.
• Bidding. Manual, not maximum delivery. Maximum delivery accepts LinkedIn's suggested bid, which is set to spend your budget rather than to spend it well. Start below the suggested range and adjust daily against whether you are hitting your full budget.
• Budget floor. LinkedIn's platform minimum is $10 a day, but the auction punishes low bids with poor placement. The consultant above recommends $50 a day minimum per campaign and, where budget is tight, running fewer campaigns rather than spreading thin.
• Audience size. Aim for 50,000 to 500,000. Smaller struggles for volume, larger is usually a targeting failure in disguise.

One format detail with real leverage

Member posts support longer video than company page posts, roughly 15 minutes against 10, which Ben Brown of Session Media demonstrates in his campaign walkthrough. He reports running a nearly 15-minute video at a 0.54% completion rate, and makes the point that matters: someone who watched 15 minutes of you is not a click; they are a qualified relationship. For technical products with long evaluation cycles, this is the most underused thing in the format.

Note also that only 29 of the 360 ads in our sample were video. The longest-dwell format on the platform is also the least used.

Rule 8. What do you do with the engagement after the ad runs?

The single largest cost improvement documented anywhere in this research came from what happened after the ad ran, not from the ad.

The £6M-spend consultant describes running an identical funnel that had worked at £180 per booked call two years earlier. Rerun unchanged, it produced zero calls from £2,000 in spend. Same creative, same targeting, same landing page.

Switching to thought leader ads got calls flowing again, but the first one cost £800. Two changes brought it to £200 on the same campaign, same targeting, same creative:

• Manual reply to every inbound DM. Fifteen people messaged him. He answered each personally, some with a two-minute Loom, some with a 30-second voice note, none templated and none automated. Three more calls booked the same day. His reasoning is worth quoting because it is the whole case for not scaling this step: everyone else is automating it, so showing up as a human is the differentiator. At 10 to 15 leads a month, it does not need to scale.
• Retargeting the engagers. After a week, he built a matched audience from everyone who had engaged with the thought leader ad, then ran different creative at them: direct-to-camera video referencing the original post, testimonial images, and message ads. Not the same ad again.

That is why the Engagement objective matters. Engagement is not the outcome. Engagement is how you assemble a warm audience out of cold traffic, and the second campaign is where the conversion happens.

The measurement rule that keeps you from killing the channel

B2B research cycles are long, and a creator touch frequently precedes a signup by four to six weeks. If you judge this channel on first-click attribution inside 30 days, you will switch off your best performer and keep your worst.

Run three layers instead:

• Direct link tracking. One unique link per creator, with UTM source and campaign set to their name.
• Self-reported attribution. A "how did you hear about us" field on signup, with the creator's name as an option. PostHog briefs creators to tell their audience to "mention them on sign up" for exactly this reason. This catches the person who watched on a phone in March and signed up on a laptop in May.
• A pre-measured baseline. Capture branded search volume, direct traffic, and demo requests for the four weeks before anything publishes. Without this the lift is unprovable, and this is the layer teams skip most often.

Creator spend that cannot be traced looks like a cost centre in the next budget review. We run the baseline before the first post goes live, then report reach, engagement, and attributed signups per creator on one dashboard. If your current programme cannot answer "which creator produced which signup," we will audit the setup before you spend anything further.

Rule 9. What changes when the audience is developers?

Everything above holds for B2B SaaS generally. When the audience is engineers, one thing changes, and it changes enough to redesign the campaign around.

Credibility tax is measurable

We searched the full Hacker News comment index via the public Algolia index for the exact phrase "LinkedIn influencer" and read every result. 55 comments contain it verbatim, the earliest from April 2014.

41 of the 55 use the phrase as an insult or a punchline. 14 are neutral references to the term itself. None use it approvingly. Usage peaked at 19 comments in 2025.

A sample of what the words are doing in context:

"This felt like a vacuous post by a LinkedIn influencer."

"It goes a little too LinkedIn-influencer style with the extreme proclamations."

"Our old Salesforce rep is now a LinkedIn influencer. We all shake our heads as we know how useless they really were."

One of the 41 comments that use the phrase as an insult, screenshotted directly from the thread.

This is not a reason to avoid the channel. Engineers use LinkedIn, and the people who sign the purchase order live there. It is a reason to understand that the category label itself is a liability with this audience, and that a campaign which reads as thought leadership performance will be actively counted against you.

What replaces opinion

Here sits the core distinction between developer marketing and ordinary B2B marketing. Normal B2B influence borrows credibility. Someone respected states a view, and their audience updates. That transaction works on a CFO because a CFO cannot independently verify a pricing claim in ninety seconds.

An engineer can. They will open your docs, scan your API reference, check your GitHub issues, and form a view before finishing the post. Which means the only durable asset in a DevTool campaign is proof: the creator ran your code, in front of people who can tell whether it worked.

That reframes every earlier rule:

• The brief changes. Ask for one job done end to end rather than a feature tour. A developer who watches someone finish a real task trusts the tool. A developer who watches a feature list trusts nothing.
• Leave the errors in. The edit that removes the failed build also removes the credibility. A creator hitting an error, diagnosing it, and fixing it on camera is worth more than a clean run because it shows what engineers actually want to know: what happens when it breaks.
• Require a written artifact. Ask for a Dev.to post, a GitHub repo, or a comparison table alongside the LinkedIn post. The reason is new and not yet priced into most deals: developers increasingly open an assistant to ask what they should use, and models cite text far more readily than a video or a social post.

A creator who cross-posts to Medium or Substack is a co-author rather than an amplifier. If your category is contested in AI answers, put this in the brief as its own tracked outcome. It is the track our AI answer visibility work measures separately from reach.

Vet for technical accuracy, not just reach. A generalist agency can negotiate a rate card. We go deeper on why developer audiences need a separate creator model and on which channels reach technical buyers at all. It cannot tell you whether a creator's Kubernetes tutorial is wrong. If it is wrong, the comment section corrects it publicly, in front of your exact buyer, and that thread ranks for two years.

What the format asymmetry means for you

Recall the category chart from Rule 2. DevOps platform sat at 3 of 24 person-fronted ads, CI/CD at 4 of 24, cloud security at 5 of 24. These are the categories where developer scepticism runs highest and where person-fronted advertising is rarest.

Both facts have the same cause, and it is not that the format fails with engineers. It is that the format fails when it carries opinion, and almost everyone runs it carrying opinion. Point it at a practitioner demonstrating something real and the scepticism works in your favour, because the contrast with everything else in the feed is the entire pattern break.

Our own campaign data reflects the gap. A practitioner post from a DevRel creator with 53,400 followers ran a 61% click-through rate in a feed where the sponsored post beside it ran 3%, with 312 likes against 6 and 48 comments against none. Same feed, same developer, same day. The difference was who was talking and whether they had actually used the thing. More of these numbers, with the mechanism behind each, sit in our case studies.

How much does it cost and how long before it works?

Three budget tiers, and what each one honestly buys.

• $3,000 to $15,000 total, one quarter. A test. Three to five creators, or a single-person Thought Leader Ads programme at $1,500 to $2,000 a month in ad budget.
• $5,000 to $10,000 a month, two quarters. A programme. A rotating roster, retargeting layers running behind the top-of-funnel ads, and enough repetition for your ICP to start recognising names. This is where cost per signup becomes stable enough to plan with.
• Twelve months and up. A channel. The compounding shows up here: content still being referenced months after publication, inbound that names a creator unprompted, and the AI-citation effect from written artifacts.

On timing, the honest answer is slower than paid search and faster than SEO. Expect the first meaningful signals, meaning booked calls, inbound messages, and high-intent page visits, within 60 to 90 days of consistent spend. We booked over 10 meetings for our clients in under two weeks, but they started with a co-founder who had already spent years building a following and a body of posts to draw on.

What are the challenges of LinkedIn influencer marketing?

• You amplify weak positioning. Amplification multiplies whatever exists. If your one-line pitch is fuzzy, a creator programme distributes the fuzziness faster and more expensively. Sequence it: positioning, then proof, then amplification.
• You over-brief and kill the thing you paid for. The format works because it doesn't read like a company wrote it. Give guidance on the points that must be technically correct and let the creator decide how it sounds. A script is detectable in the first sentence.
• You run the same creator until the audience tunes out. Saturation is real. Rotate the roster or change the format before the numbers tell you to.
• You buy reach from someone advising a competitor. This is what a conflict-flags column in your roster is for. It happens more often than teams expect, and the time to find out is before the invoice.
• You measure on first click and switch off the winner. Covered in Rule 8, and worth repeating because it is the most expensive mistake on this list.
• You treat the CEO's posts as influencer marketing. They are not. They are owned media. Both are worth running. Confusing them means you never actually test whether an outside voice moves your numbers.

Conclusion

You now have the census, the cost comparison, the constraint list, and the three-layer measurement setup. The finding that should change your next quarter is the smallest number here: 6 of 360 live ads pointed the cheapest distribution format on LinkedIn at a voice from outside the company. Almost every competitor you have is either ignoring the format or aiming it at their own founder.

Start with the free part. Open the Ad Library, search your category, and count how many ads carry a face. That tells you in ten minutes whether a person-fronted ad is a pattern break or table stakes where you compete.

If the answer is that nobody in your category is doing it, that is the opening. Infrasity builds and runs vetted creator rosters across LinkedIn, YouTube, X and Discord for DevTool and AI infrastructure teams, with conflict flags, price bands, and attribution to sign-up. You approve the roster and the full budget before anything is briefed.

Frequently asked questions

What is LinkedIn influencer marketing?

LinkedIn influencer marketing is paying someone with credibility and an audience to talk about your product on LinkedIn, either through organic posts they publish to their own followers or through Thought Leader Ads, where your company pays to distribute their post to an audience you target. In B2B, it functions as trust compression: a practitioner your buyer already follows saying "I used this" replaces weeks of quiet independent evaluation.

What is the difference between Thought Leader Ads and thought leadership ads?

They are the same thing. "Thought Leader Ads" is LinkedIn's product name inside Campaign Manager. "Thought leadership ads" is how most practitioners refer to the format. Both describe promoting an organic post from a personal profile using a company ad account.

Can you run Thought Leader Ads for someone who doesn't work at your company?

Yes. LinkedIn lets you promote posts from first- and second-degree connections, and the author must approve each promotion or switch on auto-approval for your account. This is the least-used capability in the format. In our 360-ad sample, only 6 ads used it.

How much do LinkedIn Thought Leader Ads cost?

There is no separate pricing tier. They run on the same auction as every other LinkedIn format, so cost depends on your bid, audience, and engagement rate. In practice, they price far cheaper because the auction rewards engagement: one published campaign paid a $2.31 CPM on thought leader ads against $48.31 on single image ads in the same campaign. Practitioners running the format as a standing programme typically budget $1,500 to $2,000 a month in ad spend.

Do you need a large following for LinkedIn influencer marketing to work?

No, and follower count is the wrong diligence question. Vector's seven creators averaged 13,000 followers, and the campaign produced $1.1M in pipeline. For Thought Leader Ads specifically, reach comes from your targeting rather than the person's following, so a creator with 3,000 relevant followers can be placed in front of 200,000 people you selected.

How do you measure LinkedIn influencer marketing when buyers take months to convert?

Use three layers rather than one: unique tracked links per creator, a self-reported "how did you hear about us" field at signup, and a baseline of branded search and direct traffic captured before anything publishes. Judging the channel on 30-day first-click attribution will systematically undervalue it, because a creator touch often precedes signup by four to six weeks.

Does influencer marketing work for developer tools?

It works, but on different terms. Developers verify claims rather than accepting them, so the asset is proof rather than opinion: a practitioner running your code, errors included, in front of people who can judge whether it worked. Opinion-led thought leadership carries a real credibility cost with this audience. Of 55 Hacker News comments using the phrase "LinkedIn influencer," none used it approvingly.